Netflix

Data Scientist 5

Netflix

full-time

Posted on:

Location Type: Remote

Location: Remote • 🇺🇸 United States

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Salary

💰 $170,000 - $720,000 per year

Job Level

Mid-LevelSenior

Tech Stack

AirflowApacheDistributed SystemsETLPythonSQL

About the role

  • Develop metrics to measure the availability, reliability and performance of Netflix’s infra stack
  • Partner with Data Engineering, Data Science and Analytics Engineers to productionize system level availability metrics and dashboards
  • Partner with Software Engineers, Performance Engineers, Technical Product Managers and other product teams to conduct root cause and causal inference analysis of availability issues and make recommendations for how to remediate
  • Connect with the larger analytics community at Netflix to bring more visibility to our work

Requirements

  • Experienced in metric development and measurement in the domain of system reliability / availability for large, distributed systems, platforms, and/or infrastructure
  • Fluent in at least one analytics and scripting language like Python
  • Experienced in engineering data pipelines and ETL in languages like SQL and workflow orchestration tools like Apache Airflow
  • Passionate about using data to help guide strategic decision making
  • An exceptional communicator with both technical and non-technical audiences
  • Experienced at telling stories with data and communicating to stakeholders at all levels of the business
  • Experienced in building strong relationships with stakeholders and colleagues to tackle big, cross-functional problems
  • Comfortable with ambiguity, and thrive with minimal oversight and process
  • A strong product thinker with good product sense
Benefits
  • Health Plans
  • Mental Health support
  • 401(k) Retirement Plan with employer match
  • Stock Option Program
  • Disability Programs
  • Health Savings and Flexible Spending Accounts
  • Family-forming benefits
  • Life and Serious Injury Benefits
  • Paid leave of absence programs
  • Full-time hourly employees accrue 35 days annually for paid time off
  • Full-time salaried employees are immediately entitled to flexible time off

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
metric developmentsystem reliabilitysystem availabilitydata pipelinesETLPythonSQLApache Airflowdata analysiscausal inference
Soft skills
exceptional communicatorstorytelling with datarelationship buildingstrategic decision makingcross-functional collaborationcomfort with ambiguityminimal oversightproduct thinkinggood product sense